Results 11 to 20 of about 840,001 (278)
In this era of significant advances in telecommunications and GPS sensors technology, a person can be tracked down to proximity of less than 5 meters. This remarkable progress enabled the offering of services that depend on user location (the so-called location-based services—LBSs), as well as the existence of applications that analyze movement data ...
Gkoulalas-Divanis, A., Verykios, V. S.
openaire +2 more sources
A Trajectory Privacy Protection Method Based on Random Sampling Differential Privacy [PDF]
With the popularity of location-aware devices (e.g., smart phones), a large number of trajectory data were collected. The trajectory dataset can be used in many fields including traffic monitoring, market analysis, city management, etc.
Tinghuai Ma, Fagen Song
doaj +2 more sources
Trajectory privacy protection scheme based on differential privacy
To solve the problem that the current sampling mechanism and data obfuscation method may raise insufficient data availability and privacy protection, a trajectory privacy protection scheme based on differential privacy was proposed.A new efficient ...
Si CHEN +3 more
doaj +3 more sources
Personalized semantic trajectory privacy preservation through trajectory reconstruction
Trajectory data gathered by mobile positioning techniques and location-aware devices contain plenty of sensitive spatial-temporal and semantic information, and can support many applications through data analysing and mining. However, attribute-linkage and re-identification attacks on such data may cause privacy leakage, and lead to unexpected serious ...
Yan Dai 0001 +4 more
openaire +2 more sources
SCTP: Achieving Semantic Correlation Trajectory Privacy-Preserving With Differential Privacy [PDF]
With the rapid proliferation of vehicular technology, location-based services (LBS) have become a crucial component of Internet of Vehicles (IoV) applications, such as map navigation and health tracking. These applications rely on users' location information to provide services, enabling users to effectively share their locations, access information ...
Haojie Yuan +6 more
core +6 more sources
Privacy Preservation in the Publication of Trajectories [PDF]
We study the problem of protecting privacy in the publication of location sequences. Consider a database of trajectories, corresponding to movements of people, captured by their transactions when they use credit or RFID debit cards. We show that, if such trajectories are published exactly (by only hiding the identities of persons that followed them ...
Manolis Terrovitis, Nikos Mamoulis
openaire +2 more sources
A Privacy Risk Model for Trajectory Data [PDF]
Time sequence data relating to users, such as medical histories and mobility data, are good candidates for data mining, but often contain highly sensitive information. Different methods in privacypreserving data publishing are utilised to release such private data so that individual records in the released data cannot be re-linked to specific users ...
Basu A +8 more
openaire +4 more sources
Creative beyond TikToks : investigating adolescents' social privacy management on TikTok [PDF]
TikTok has been criticized for its low privacy standards, but little is known about how its adolescent users protect their privacy. Based on interviews with 54 adolescents in Switzerland, this study provides a comprehensive understanding of young TikTok ...
Knieps, Melanie +5 more
core +1 more source
Privacy through uncertainty in location-based services [PDF]
Location-Based Services (LBS) are becoming more prevalent. While there are many benefits, there are also real privacy risks. People are unwilling to give up the benefits - but can we reduce privacy risks without giving up on LBS entirely?
Kuijpers, Bart +16 more
core +1 more source
Maintaining trajectory privacy in mobile wireless sensor networks [PDF]
Mobile wireless sensor networks (MWSN) is a subdomain of wireless sensor networks in which sensors and/or sinks are mobile. In this study, we propose a scheme for providing trajectory privacy of mobile sink nodes.
Kiraz, Osman +3 more
core +1 more source

